Updated 18 Feb 2014
POLYPARCI uses the procedures outlined in the ‘polyfit’ documentation to calculate the covariance matrix, and uses ‘betainc’ and ‘fzero’ to calculate the cumulative t-distribution and the inverse t-distribution for a given probability and degrees-of-freedom. It uses only core MATLAB functions and does not require the Statistics Toolbox.
The t-distribution and t-statistic calculations have a relative error of about 1E-012 compared to the Statistics Toolbox functions ‘tcdf’ and ‘tinv’. The relative error of the confidence intervals is about 1E-005 compared to those calculated by ‘nlinfit’ and ‘nlparci’ with the same model on the same data.
Star Strider (2023). polyparci (https://www.mathworks.com/matlabcentral/fileexchange/39126-polyparci), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Continuous Distributions > Student's t Distribution >
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